DSpace Semantic Search v2.0: What’s New and Current Status Dimitrios A. Koutsomitropoulos 1 , Georgia D. Solomou 1 and Ricardo Borillo Domenech 2 1 High Performance Information Systems Laboratory, School of Engineering, Computer Engineering and Informatics Department, University of Patras, Building B, 26500, Patras-Rio, Greece 2 Servicio de Informática, Universitat Jaume I, Rectorado, 12071, Castellón, Spain kotsomit@hpclab.ceid.upatras.gr, solomou@hpclab.ceid.upatras.gr borillo@uji.es Abstract. DSpace Semantic Search v2.0 is the next version of the reasoning- based querying and navigation service for the DSpace digital repository system. Compared to its predecessor, v2.0 has been significantly refactored and comes with an improved interface, additional functionality and a modular, ‘add-on’ architecture. In this paper, we introduce this service to the community by giving an abridged account of new and upcoming features and give pointers for further information and involvement. 1 Introduction - The story so far The semantic search and navigation service is the outcome of efforts to enable semantic searching capabilities for any web-based digital repository system. A first prototype [4] was developed as an add-on for DSpace version 1.4.2 and since then, several enhancements have been incorporated, upgrading both its user-friendliness and functionality. This initial version of the semantic search interface (‘Semantic Search v1.0’) simply amounted to a text field where users had to type in their queries, following the principles of the Manchester OWL Syntax [2]. Search was conducted against the DSpace ontology (populated automatically through OAI) and results were displayed in the form of a browsable list. Users were responsible for typing their queries correctly, so this first prototype was considered a bit awkward, especially for those not familiar with Manchester Syntax. With Semantic Search v2.0, a structured querying mechanism and interface is introduced, that guides users in building semantic queries. At the same time, the interface tries to be as intuitive as possible by making suggestions, checking user input and enabling or disabling subsequent fields accordingly. The novel semantic search interface is backed by a new DSpace Semantic API that sports a pluggable design for reasoners as well as proper handling of OWL 2 and is based on the newest OWL API v3 [1]. Most importantly, this Semantic API is